Research within the PRONTO Project is resulting in tangible high-quality outcomes published in the form of conference proceedings, journal papers and talks available on PRONTO ResearchGate page.

Pronto outputs are carefully listed in the H2020 European Platform for Open Access “OpenAir”. Please navigate through the following link:

https://www.openaire.eu/search/project?projectId=corda__h2020::667c97282089d917fb5b9cf124e540c4

  • Stief, A., Ottewill, J.R., Orkisz, M., Baranowski, J., 2017, Two stage data fusion of acoustic, electric and vibration signals for diagnosing faults in induction motors, to appear in Elektronika ir Elektrotechnika, December 2017.

  • Stief, A., Ottewill, J.R., Orkisz, M., Baranowski, J., 2017, Two stage data fusion of acoustic, electric and vibration signals for diagnosing faults in induction motors, Electronics 2017, 19th-21st June 2017, Palanga, Lithuania
  • Tan, R., Samuel, R.T., Cao, Y., 2017, Multimode nonlinear dynamic process monitoring of a multiphase flow facility, European Symposium on Computer-Aided Process Engineering (ESCAPE-27),  Barcelona, Spain, Oct 1-5, 2017.
  • Tan, R., Cao, Y., 2017, Contribution plots based fault diagnosis of a multiphase flow facility with PCA-enhanced Canonical Variate Analysis, 23rd International Conference on Automation and Computing (ICAC’17), Huddersfield, UK, Sep 7-8, 2017.
  • Bradford, E., Imsland, L., 2017, Expectation constrained stochastic nonlinear model predictive control of a bioreactor, European Symposium on Computer-Aided Process Engineering (ESCAPE-27), Barcelona, Spain, Oct 1-5, 2017.
  • Leo, E., Engell, S., 2017, Condition-based operational optimization of industrial combined heat and power plants under time-sensitive electricity prices, European Symposium on Computer-Aided Process Engineering (ESCAPE-27), Barcelona, Spain, Oct 1-5, 2017.
  • Schulze Spüntrup, F., 2017, A data-based decision support system for compressor fleet energy management, Advances in Process Automation and Control 2017, 14th June 2017, Birmingham, UK.
  • Zagorowska, M., and Thornhill, N.F., 2017, Compressor map approximation using Chebyshev polynomials, 25th Mediterranean Conference on Control and Automation, 3-6 July 2017, Valetta, Malta, pp 864-869.
  • Galan, A., De Prada, C., Gutierreza, G., Sarabia, D., González, R., Sola, M., Marmol, S., Pascua, C., 2017, Resource efficiency indicators usefulness for decision-making process of operators: refinery hydrogen network case study. European Symposium on Computer-Aided Process Engineering (ESCAPE-27),  Barcelona, Spain, Oct 1-5, 2017
  • Galan, A., De Prada, C., Gutierrez, G., Sarabia, D.,  González, R., 2017, Dynamic simulation applied to refinery hydrogen networks, XXXVIII Jornadas de Automática JA2017 (Conference on Automation, Gijón, Spain, 6-8 September 2017

  • Schulze Spüntrup, F., 2017, A data-based decision support system for compressor fleet energy management, Presentation from Advances in Process Automation and Control 2017, 14th June 2017, Birmingham, UK.